Elite Express Holding (ETS) Operating Expenses (2025 - 2026)
Elite Express Holding (ETS) posted Operating Expenses of $2.86 million for fiscal Q2 2026 (quarter ended May 31, 2026), compared with $141,762 a year earlier and up 514.7% from the prior quarter.
Elite Express Holding (ETS) Operating Expenses (2025 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Operating Expenses at Elite Express Holding was $5.42 million; for FY2025 (ended Nov 30, 2025), it was $2.52 million.
- In prior fiscal years, Elite Express Holding's Operating Expenses was $122,462 in FY2024.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $464,606 (Q1 2026), $1.95 million (Q4 2025) and $151,600 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | Elite Express Holding | 34.77 Mn | 14.60 Mn | 81,037.00 | 2.86 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.86 Mn |
| Feb 28, 2026 | 464,606.00 |
| Nov 30, 2025 | 1.95 Mn |
| Aug 31, 2025 | 151,600.00 |
| May 31, 2025 | 141,762.00 |
| Feb 28, 2025 | 283,619.00 |
Elite Express Holding Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=ETS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ETS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ETS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();